DEVELOPMENT... OpenML
Run
37394

Run 37394

Task 3668 (Supervised Classification) delta_ailerons Uploaded 28-10-2014 by Felicia West
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Flow

weka.MultiBoostAB_ADTree(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.ADTree(2)_B10
weka.ADTree(2)_E-3
weka.ADTree(2)_S1
weka.MultiBoostAB_ADTree(2)_C3
weka.MultiBoostAB_ADTree(2)_P100
weka.MultiBoostAB_ADTree(2)_S1
weka.MultiBoostAB_ADTree(2)_I20
weka.MultiBoostAB_ADTree(2)_Wweka.classifiers.trees.ADTree

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.9736
Per class
Build CPU time
4.7512
Build memory
130896572.9196
F measure
0.9413
Per class
Kappa
0.8821
KB relative information score
6284.3007
Mean absolute error
0.059
Mean prior absolute error
0.4981
Number of instances
7129
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9415
Per class
Predictive accuracy
0.9414
Prior entropy
0.9973
Recall
0.9414
Per class
Relative absolute error
0.1185
Root mean prior squared error
0.4991
Root mean squared error
0.2382
Root relative squared error
0.4772
SciMark benchmark
944.5683